Dr. Odongo Steven Eyobu
Lecturer, School of Computing and Informatics Technology, Makerere University, Uganda. Lead, Computational Intelligence at the GDCI lab, Makerere University.
Title: Enhancing Assistive Living with Intelligent Systems
Interest Area: Indoor Localization, Activity Recognition, Health Diagnostics
Keywords: Mobile Devices, Wearables, Datasets
Objectives:
- Explore the benefits of wearable technologies in improving indoor tracking and activity recognition efficiency
- Address challenges and considerations in evaluating and implementing these technologies
- Present findings from our ongoing research and outline future directions
Abstract:
The rapid advancement of wearable and sensor technologies has paved the way for significant progress in user tracking, assistive living, and health monitoring. Wireless technologies have emerged as the preferred method to meet the rigorous demands associated with these applications.
This presentation will delve into our current research on utilizing Pedestrian Dead Reckoning (PDR) for indoor user tracking and activity recognition leveraging IMU sensor data. Additionally, insights will be shared regarding our work in intelligent health diagnostics for Maternal health care and Lower Respiratory tract disease prediction, both, using chatbots at the GDCI lab, Makerere University.
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